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133893 This is my first question so I'm not sure if it is the right category. Otherwise I would be glad if moderators can move this to a more roper category if there is. A single-ended -10V to +10V 16-bit data acquisition system is composed of 16 single-ended channels where two of the channels are analog outputs and th
Dithering and oversampling help to "see" signals whose level is below one quantization step. Dithering, by giving to the quantization noise (that is nonrandom for very low level signals) statistical properties like random noise. Oversampling, by distributing the noise power over a wide bandwidth (wider than the band of (...)
Why is it necessary? So your analog logic doesn't start doing some random function, and in the reverse direction, so help improve test coverage.
Hi all, I am trying to give valid test patterns (As in give a test pattern that ensures that none of the signals are unknowns). I tried giving random inputs every cycle, I decreased the clock frequency. But still I am getting undefined values after a large number of clock cycles. Please advice me on how I should proceed?. Regards, Prabanja
Is there any way out to separate ac and dc signals ? I mean if input is a random signal containing both ac and dc parts , then is it possible to separate ac and dc ? Will capacitor be of any help because a capacitor blocks dc ?
Hello all, I have a large RC network that I am simulating in HSPICE (on Linux). The voltage sources are all DC and the current sources are random PWL signals. I am trying to figure out the number of system solves that HSPICE is performing to finish the simulation. In the output generated on the terminal, there are two entires: "tot. iter" and "c
Hi! Can anyone help me for the solution manual of random signals: Detection, Estimation and Data Analysis, by K. Sam Shanmugan? Thank You
Are you sure the TIG actually is in effect? Those pesky constraints have way of letting you think you have applied them, but in actual fact they do as they please. I'd double check that the constraints are actually applied. Notably, make sure you apply the constraints to the flip-flops (registers), NOT some random wires aka signals. Been the
A "conceptually"-deterministic signal might be a signal that is defined by an exact equation (e.g. sin(t), for all real numbers t), which has no random/stochastic/probabilistic component. IF I am using the correct definition of "deterministic" (i.e. "not stochastic"), then I believe that all "real world" signals would not be deterministic, and w
Hi, I am trying to assign random values to the inputs of my design. I would like to do in the TCL scripts. I have the TCL for the Modelsim. I need something similar in the NCSim. set DUTInS # Set to store all the inputs # Find all the inputs and add them to the set foreach k { set o [string map
Hello all, I want to determine the power level (dB amp) of (supposed to be wgn) random signal using oscilloscope data. I have compiled a code to do the job but when tried to verify my code for several different signals (periodic sinus, random gaussian) generated on MATLAB, I have seen that the code yields different power levels for (...)
Pseudo random noise has no meaningful frequency spectrum, despite of some accidental maxima and minima. The setup can be summarized as "garbage in - garbage out". Generally, I don't think that a Nyquist related "maximum frequency" is a suitable parameter for all kinds of sensor signals. Strictly spoken, it only applies if the signal carries a fr
Hi, I am trying to interface a Cypress sl811hst-axc usb host / slave controller with an Altera Cyclone I FPGA, the cyperss chip isn't responding to my signals, I've tried to write an 8bit data to a random address of the chip by driving the controls lines, corresponding to the timing diagram provided with the chip datasheet, and then read at the sam
address = $urandom_range('hB0,'hFF);
Any body has the solutions for sam shanmugan random signals book? or at least chap 6??? please
Hi Everyone. I am implementing a Kalman filter for an accelerometer. As you know,the accelerometer can be modeled as a random Walk process and the output of a random walk process is assumed to be coming out of an integrator driven by white noise. This is described in "random signals and applied kalman filtering, (...)
Hi everyone, I have a project about Kalman filter and its application in GPS. I need the source Matlab code of ""Introduction to random signals and Applied Kalman Filtering with Matlab Exercises and Solutions" -Robert Grover Brown v? Patrick Y. C. Hwang, and "Global Positioning Systems, Inertial Navigation, and Integration" -Mohinder S. Grewal,Law
What exactly are you expecting to see? If you use an untuned amplifier the output will be a combination of possibly thousands of signals, all with random amplitude, frequency and phase. The result will look like random noise unless one of the signals is much stronger than the rest, in which case it might be distinguishable (...)
A random signal from a deep-space probe is uniformly distributed between 17.324V and 32.574V. It is observed in the presence of Gaussian noise N having zero mean and standard deviation of 9V. If the observed value of the signal plus noise is 19V, find the best estimate of the signal amplitude. In a stormy sea, the following waves are present
Is this procedure declarations allowed? process ( gtx0_txusrclk2_i) VARIABLE seed1, seed2: positive := 3 ; -- Seed values for random generator VARIABLE rand: real; -- random real-number value in range 0 to 1.0 VARIABLE int_rand: integer; -- random