In our previous tutorial, we have discussed about Cholesky decomposition which is a very important matrix factorization to solve a linear equation. But this technique has some drawbacks which are also discussed in the same tutorial. In this tutorial, we …
Cholesky decomposition is a very important matrix factorization technique which is used to solve a linear equation. This technique originally derives from very popular LU decomposition and very suitable for higher order matrices. In Cholesky decomposition, the co-efficient matrix $A$ …
Singular Value Decomposition (SVD) is one of the matrix factorization techniques which can be used to solve linear equations. But this is not the primary objective of SVD. SVD can provide singular values of matrix. Singular values reveal unique information …
QR decomposition is one of the powerful matrix factorization techniques that is used to solve a linear equation, to find matrix inverse or to find pseudo-inverse. In this factorization technique, a matrix (A) is factorized into two matrices Q and …
Pulse Width Modulation (PWM) signal is used in place of a Digital to Analog Converter (DAC) to simplify the digital-to-analog conversion process. PWM is used when we need to generate analog voltage corresponding to some digital value. PWM is a …
Ultrasonic sensor is one of the most important sensors which are used for IoT applications. There are plenty of tutorials available in the internet which tells us how to interface an ultrasonic sensor with Arduino and other popular controllers. In …
Almost every FPGA boards are having seven segment display elements. These displays are very useful for displaying data in he form of BCD. Suppose, one design is implemented on FPGA and display of the result is required. Then the result …
A numerically controlled oscillator (NCO) is used for on-chip generation of major signals like cosine, sine, linear frequency modulated (LFM), Gaussian etc. in system on chips (SoCs). These signals can be generated by two ways, either by analog circuitry or …
Signal processing algorithms sometimes involve computation of exponential as well as logarithm. Thus it is important to implement both the functions on digital hardware. In our previous tutorials, we have discussed implementation of exponential function. In this work, design of …
In the previous post, we have discussed the theory for computation of exponential and discussed about its hardware architecture. In this post, we will discuss an alternative architecture to compute the exponential. If we examine the equations which evaluate the …
L293D IC Based Motor Driver Module$3.00
Verilog Code for Interfacing INMP441 MEMS Based Microphone Module$5.00
Verilog Code for Interfacing DHT11 with FPGA$10.00
Pulse Width Modulation (PWM) Signal Generator IP$2.00
LUT Based 256-point 24-bit Fixed Point Parallel Implementation of DCT$50.00
Fixed Point Parallel LUT Based FFT/IFFT Processor IP$150.00
Common Cathode 2-digit Seven Segment Display Module$3.00
IP to form Variable Size Window for Image Processing$5.00
Floating Point General Divider IP$5.00
Fixed Point Reciprocal Computation IP$5.00
Fixed Point Signed Divider IP$5.00
Floating Point Square Root IP$5.00
Fixed Point Square Root IP$5.00
Verilog Code for 11-bit Floating Point Parallel Square Root Block$2.50
Verilog Code for 16-bit Floating Point Pipelined Divider$4.00
