DSP

Discrete Signals

Discrete Time Signals Standard Sequences LTI Systems Convolution Sum Difference Equations Correlation

Z-Transform

Z-Transform Definition Properties of ROC Inverse Z-Transform Transfer Function System Response

DFT & FFT

DTFT Overview DFT Basics Properties of DFT Circular vs Linear FFT Algorithms Computations in FFT Goertzel Algorithm

FIR Filters

Filter Types FIR Characteristics FIR Filter Design Window Functions Kaiser Window FIR Structures

IIR Filters

IIR Basics Impulse Invariance Bilinear Transform Butterworth Filters Chebyshev Filters IIR Structures

Multirate DSP

Decimation Interpolation Sampling Rate Conversion Polyphase Decomposition Filter Banks

Adaptive Filters

Adaptive Filter Basics LMS Algorithm RLS Algorithm Noise Cancellation Echo Cancellation Channel Equalization

DSP Applications

Speech Processing Basics Image Processing Basics Audio Compression Radar Signal Processing

Image Processing Basics

2D convolution, edge detection.

Darshan N

Updated: 19 March 2026

9 min read

Image Processing Quiz

Challenge your understanding of 2D convolution and edge detection operators.

Question 1 of 3

Q1.The Sobel operator for edge detection computes the gradient magnitude using two 3x3 kernels. What does the Sobel operator approximate?

Radar Signal Processing

Pulse compression, target detection.

6 min read

Decimation

Downsampling, anti-aliasing filter.

12 min read

Interpolation

Upsampling, anti-imaging filter.

5 min read

DSP Processors

Harvard architecture, MAC units, circular buffers.

8 min read

Filter Banks

Analysis and synthesis banks, subband coding.

10 min read

Speech Processing Basics

Audio Compression

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