Persistent data structures are data structures that allow you to retain previous versions of the structure even after modifications. In traditional (non-persistent) data structures, when [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…]
Quantization and Quantization Noise is a fundamental process in digital signal processing (DSP) that involves representing continuous analog signals or values with a discrete set [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…]
Finite word length effects refer to the limitations imposed by representing real numbers with a finite number of bits or digits in a computer system. [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…]
The Z-transform is a mathematical transform used in digital signal processing and discrete-time systems analysis. It converts a discrete-time signal into a complex function of [Read More…]
