Statistical signal processing
Statistical signal processing is a branch of signal processing that utilizes statistical techniques and probabilistic models to analyze and manipulate signals. It focuses on understanding [Read More…]
Statistical signal processing is a branch of signal processing that utilizes statistical techniques and probabilistic models to analyze and manipulate signals. It focuses on understanding [Read More…]
Multidimensional signal processing refers to the analysis, manipulation, and transformation of signals that are defined in multiple dimensions. In contrast to one-dimensional signals, such as [Read More…]
Adaptive filters and Applications are a class of filters that have the ability to automatically adjust their parameters or coefficients based on the input signal [Read More…]
Design of Infinite Impulse Response (IIR) filters are a type of digital filter most commonly used in signal processing applications. They are characterized by their [Read More…]
Multirate signal processing refers to the field of digital signal processing (DSP) that deals with signals having different sampling rates. In traditional DSP, signals are [Read More…]
The Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) are mathematical algorithms used to convert a time-domain signal into its frequency-domain representation. They are [Read More…]
Linear regression is a statistical method used to model the relationship between two variables by fitting a linear equation to a given set of data [Read More…]
Quick sort is an efficient sorting algorithm that works by dividing a list of numbers into two smaller sub-lists, based on a chosen pivot element. [Read More…]
Insertion sort is a simple sorting algorithm that works by building a final sorted list one item at a time. It is much less efficient [Read More…]
The binary search algorithm is a widely used search algorithm that allows for the efficient searching of a sorted list of elements for a specific [Read More…]