Browsing by Subject "Digital signal processing"
Now showing items 1-3 of 3
Computational Tutorial of Steepest Descent Method and Its Implementation in Digital Image Processing (2013)
In the last decade, optimization techniques have extensively come up as one of principal signal processing techniques, which are used for solving many previous intractable problems in both digital signal processing (DSP) problems and digital image processing (DIP) problem. Due to its low computational complexity and uncomplicated implementation, the Gradient Descent (GD) method  is one of the most popular optimization methods for problems, which can be formulated as a differentiable multivariable functions. The GD method is ubiquitously ...
In this paper, we focus on the robustness in noise tolerance of spatial domain optical flow. We present a performance study of bidirectional confidential with median filter on spatial domain optical flow (spatial correlation, local based optical flow, and global based optical flow) under non-Gaussian noise. Several noise tolerance models on spatial domain optical flow are used in comparison. The experimental results are investigated on robustness under noisy condition by using non-Gaussian noise (Poisson Noise, Salt & Pepper noise, ...
Tutorial of One Dimensional Discrete Fourier Transform (DFT): Theory, Implementation and MATLAB® programming (2015)
The Discrete Fourier Transform (DFT) and Inverse Discrete Fourier Transform (IDFT) are classical approaches to mathematically model signals and systems in the frequency and spatial (or temporal) domains, respectively. Due to worldwide implementation of Digital Signal Processing (DSP) during the last two decades, Discrete Fourier analysis has become one of the most useful mathematical techniques for analyzing digital signals and systems. Consequently, this article provides a tutorial for the Discrete Fourier Transform (DFT) on 1- dimensional (1-D) ...