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Types of representation of numbers include decimal, binary, octal, and hexadecimal.
Decimal representation uses base 10 and consists of digits 0-9.
Binary representation uses base 2 and consists of digits 0 and 1.
Octal representation uses base 8 and consists of digits 0-7.
Hexadecimal representation uses base 16 and consists of digits 0-9 and A-F.
The two types of convolution with discrete time sequences are linear convolution and circular convolution.
Linear convolution involves summing the products of corresponding elements of two sequences over all possible values.
Circular convolution involves summing the products of corresponding elements of two sequences after wrapping around the end of the sequences.
Example: Linear convolution - [1, 2, 3] * [4, 5, 6] =...
Types of FFT include Cooley-Tukey, Radix-2, Radix-4, Split-Radix, Prime Factor, and Bluestein.
Cooley-Tukey: most common FFT algorithm, divides input into smaller DFTs
Radix-2: divides input into smaller DFTs of size 2
Radix-4: divides input into smaller DFTs of size 4
Split-Radix: combines Radix-2 and Radix-4 algorithms for efficiency
Prime Factor: decomposes DFT into smaller prime factor DFTs
Bluestein: used for arbit...
Digital Signal Processing offers advantages such as flexibility, accuracy, and ease of implementation.
Flexibility: Digital signals can be easily manipulated and processed using algorithms, allowing for more complex operations compared to analog signals.
Accuracy: Digital processing reduces noise and distortion, leading to more accurate results compared to analog processing.
Ease of implementation: Digital signal pro...
DSP in speech is used for speech recognition, noise cancellation, audio compression, and synthesis.
Speech recognition: DSP algorithms are used to analyze and recognize spoken words.
Noise cancellation: DSP techniques can remove background noise from speech signals.
Audio compression: DSP is used to compress audio data for efficient storage and transmission.
Speech synthesis: DSP algorithms can generate human-like spe...
Analog-to-Digital conversion involves sampling, quantization, and encoding of analog signals into digital form.
Sampling: capturing the analog signal at discrete time intervals
Quantization: converting the sampled values into discrete levels
Encoding: representing the quantized values in binary form
Example: In audio recording, the continuous sound wave is sampled at regular intervals, quantized into specific levels, ...
Types of digital filters include FIR filters, IIR filters, and adaptive filters.
FIR filters: Finite Impulse Response filters have a finite duration impulse response.
IIR filters: Infinite Impulse Response filters have a feedback loop in their design.
Adaptive filters: These filters adjust their parameters based on input signals to optimize performance.
Examples: Butterworth filter (IIR), Chebyshev filter (IIR), and K...
Basic elements of a Digital Signal Processing system include analog-to-digital converter, digital signal processor, memory, and input/output interfaces.
Analog-to-digital converter (ADC) - Converts analog signals into digital form for processing.
Digital signal processor (DSP) - Processes digital signals using algorithms and mathematical operations.
Memory - Stores data and instructions for processing.
Input/output in...
The two types of Fast Fourier Transform (FFT) are Cooley-Tukey FFT and Radix-2 FFT.
Cooley-Tukey FFT: Divides the DFT into smaller DFTs and recursively applies the algorithm.
Radix-2 FFT: Decomposes the DFT into smaller DFTs of size 2, which are then combined to get the final result.
Steps involved in A/D conversion
Sampling: The continuous analog signal is sampled at regular intervals.
Quantization: Each sample is assigned a digital value based on its amplitude.
Encoding: The digital values are encoded into binary format for processing.
Resolution: The number of bits used to represent each sample determines the resolution.
Conversion: The final step involves converting the digital signal into an a...
I applied via Walk-in and was interviewed in Aug 2023. There were 2 interview rounds.
Digital Signal Processing offers advantages such as flexibility, accuracy, and ease of implementation.
Flexibility: Digital signals can be easily manipulated and processed using algorithms, allowing for more complex operations compared to analog signals.
Accuracy: Digital processing reduces noise and distortion, leading to more accurate results compared to analog processing.
Ease of implementation: Digital signal processi...
Types of digital filters include FIR filters, IIR filters, and adaptive filters.
FIR filters: Finite Impulse Response filters have a finite duration impulse response.
IIR filters: Infinite Impulse Response filters have a feedback loop in their design.
Adaptive filters: These filters adjust their parameters based on input signals to optimize performance.
Examples: Butterworth filter (IIR), Chebyshev filter (IIR), and Kalman...
Types of FFT include Cooley-Tukey, Radix-2, Radix-4, Split-Radix, Prime Factor, and Bluestein.
Cooley-Tukey: most common FFT algorithm, divides input into smaller DFTs
Radix-2: divides input into smaller DFTs of size 2
Radix-4: divides input into smaller DFTs of size 4
Split-Radix: combines Radix-2 and Radix-4 algorithms for efficiency
Prime Factor: decomposes DFT into smaller prime factor DFTs
Bluestein: used for arbitrary ...
DSP in speech is used for speech recognition, noise cancellation, audio compression, and synthesis.
Speech recognition: DSP algorithms are used to analyze and recognize spoken words.
Noise cancellation: DSP techniques can remove background noise from speech signals.
Audio compression: DSP is used to compress audio data for efficient storage and transmission.
Speech synthesis: DSP algorithms can generate human-like speech f...
Analog-to-Digital conversion involves sampling, quantization, and encoding of analog signals into digital form.
Sampling: capturing the analog signal at discrete time intervals
Quantization: converting the sampled values into discrete levels
Encoding: representing the quantized values in binary form
Example: In audio recording, the continuous sound wave is sampled at regular intervals, quantized into specific levels, and e...
Basic elements of a Digital Signal Processing system include analog-to-digital converter, digital signal processor, memory, and input/output interfaces.
Analog-to-digital converter (ADC) - Converts analog signals into digital form for processing.
Digital signal processor (DSP) - Processes digital signals using algorithms and mathematical operations.
Memory - Stores data and instructions for processing.
Input/output interfa...
Types of representation of numbers include decimal, binary, octal, and hexadecimal.
Decimal representation uses base 10 and consists of digits 0-9.
Binary representation uses base 2 and consists of digits 0 and 1.
Octal representation uses base 8 and consists of digits 0-7.
Hexadecimal representation uses base 16 and consists of digits 0-9 and A-F.
The two types of convolution with discrete time sequences are linear convolution and circular convolution.
Linear convolution involves summing the products of corresponding elements of two sequences over all possible values.
Circular convolution involves summing the products of corresponding elements of two sequences after wrapping around the end of the sequences.
Example: Linear convolution - [1, 2, 3] * [4, 5, 6] = [4, ...
DSP in speech is used for speech recognition, enhancement, synthesis, and compression.
Speech recognition: converting speech to text for applications like virtual assistants.
Speech enhancement: reducing noise or improving quality of speech signals.
Speech synthesis: generating human-like speech for applications like voice assistants.
Speech compression: reducing the size of speech data for efficient storage and transmissi...
The two types of Fast Fourier Transform (FFT) are Cooley-Tukey FFT and Radix-2 FFT.
Cooley-Tukey FFT: Divides the DFT into smaller DFTs and recursively applies the algorithm.
Radix-2 FFT: Decomposes the DFT into smaller DFTs of size 2, which are then combined to get the final result.
Steps involved in A/D conversion
Sampling: The continuous analog signal is sampled at regular intervals.
Quantization: Each sample is assigned a digital value based on its amplitude.
Encoding: The digital values are encoded into binary format for processing.
Resolution: The number of bits used to represent each sample determines the resolution.
Conversion: The final step involves converting the digital signal into an analog...
Types of digital filters include FIR filters, IIR filters, and adaptive filters.
FIR filters: Finite Impulse Response filters have a finite impulse response, meaning they only respond to a finite duration input signal.
IIR filters: Infinite Impulse Response filters have an infinite impulse response, allowing for feedback in the filter design.
Adaptive filters: These filters adjust their parameters based on the input signa...
Basic elements of a digital signal processing system include analog-to-digital conversion, digital filters, and signal processing algorithms.
Analog-to-digital conversion: Converts continuous analog signals into discrete digital signals for processing.
Digital filters: Used to remove unwanted noise or enhance specific frequencies in the signal.
Signal processing algorithms: Algorithms used to analyze, manipulate, and extr...
DSP offers advantages such as higher precision, faster processing, and better noise reduction compared to ASP.
DSP allows for higher precision in signal processing compared to ASP
DSP can process signals faster than ASP due to specialized hardware and algorithms
DSP techniques such as filtering and noise reduction are more effective than those in ASP
DSP enables real-time processing of signals, which is crucial in applicat...
I applied via Newspaper Ad and was interviewed before Jan 2022. There were 2 interview rounds.
Digital Signal Processing has applications in various fields such as telecommunications, audio and video processing, radar and sonar systems, medical imaging, and speech recognition.
Telecommunications: DSP is used for signal compression, error detection and correction, and modulation and demodulation techniques.
Audio and video processing: DSP is used for audio and video compression, noise reduction, and enhancement of ...
Digital Signal Processing offers advantages over Analog Signal Processing
DSP allows for greater accuracy and precision in signal processing
DSP can be easily programmed and reprogrammed for different applications
DSP can handle complex algorithms and computations more efficiently
DSP can eliminate noise and interference more effectively than analog processing
DSP can be integrated with other digital systems for seamless co...
Sampling in A/D conversion is the process of measuring and converting analog signals into digital signals at regular intervals.
Sampling involves taking discrete samples of an analog signal at regular intervals
The frequency of sampling is determined by the Nyquist-Shannon sampling theorem
The accuracy of the digital signal depends on the sampling rate and the resolution of the A/D converter
Examples of A/D conversion incl...
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I applied via Referral and was interviewed before Feb 2023. There were 2 interview rounds.
All about previous experience
I applied via Walk-in and was interviewed before Oct 2023. There was 1 interview round.
My experience in sales includes exceeding targets, building strong client relationships, and implementing successful sales strategies.
Exceeded sales targets by 20% in my previous role
Built and maintained strong relationships with key clients, resulting in repeat business
Implemented a new sales strategy that increased revenue by 30%
I applied via Newspaper Ad and was interviewed before Nov 2023. There was 1 interview round.
I appeared for an interview before Apr 2024, where I was asked the following questions.
Joins in SQL combine rows from two or more tables based on related columns, enabling complex queries and data analysis.
INNER JOIN: Returns records with matching values in both tables. Example: SELECT * FROM A INNER JOIN B ON A.id = B.id;
LEFT JOIN: Returns all records from the left table and matched records from the right table. Example: SELECT * FROM A LEFT JOIN B ON A.id = B.id;
RIGHT JOIN: Returns all records from the...
A View in SQL is a virtual table based on the result set of a query, simplifying data access and management.
A View does not store data physically; it dynamically retrieves data from the underlying tables.
Example: CREATE VIEW EmployeeView AS SELECT Name, Department FROM Employees WHERE Status = 'Active';
Views can simplify complex queries by encapsulating them into a single object.
They can enhance security by restricting...
I appeared for an interview before May 2024, where I was asked the following questions.
I possess strong communication skills, a proven sales track record, and a passion for building client relationships, making me ideal for this role.
Proven track record: In my previous role, I consistently exceeded sales targets by 20% through strategic prospecting and relationship management.
Strong communication skills: I excel in articulating product benefits clearly, which helped me close a significant deal with a maj...
I can drive sales growth, enhance customer relationships, and leverage data analytics to optimize strategies for your company.
Proven track record of exceeding sales targets by 20% through strategic prospecting and relationship building.
Experience in utilizing CRM tools to analyze customer data, leading to a 15% increase in customer retention.
Skilled in conducting market research to identify new opportunities, resulting...
I appeared for an interview in May 2025, where I was asked the following questions.
As a Sales Executive, my role involves driving sales, building client relationships, and achieving targets through strategic planning.
Developing and maintaining relationships with clients to understand their needs.
Conducting market research to identify new sales opportunities, such as targeting specific industries.
Creating and delivering compelling sales presentations to potential clients, showcasing product benefits.
C...
I appeared for an interview in May 2025, where I was asked the following questions.
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