noise | 易学教程

功放TAS5719耳机POP noise分析对策

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【推荐】2019 Java 开发者跳槽指南.pdf(吐血整理) >>> 驱动功放时，遇到POP noise 是常见的问题，以前遇到此问题，首先想到的对策就是mute the output.本人一直来对此种解法感觉不爽，心里不快。最近遇到开机时耳机有很强的POP，决定好好研究一下产生的原因，一来想了结一下心中的不快，二来想找出根本的原因，以便以后遇到此类问题有个根本的对策。废话到此。开机耳机POP noise 问题本人遇到两种情况，其实就是两种不同的电路，然其解决思路基本相同。情况一：IC（以下IC即指TAS5719）的A_SEL脚接电阻下地，并和HP_SD相连（HP_SD不受MCU控制） POP niose产生原因：IC上电复位后不能马上切到耳机，此时IC工作还没有稳定,大致在5-6s后再进行切换。对策：当开机时，耳机已经插入。IC先进行复位，然后进行初始化设置，再写耳机和喇叭切换的寄存器值。从IC复位到写切耳机的寄存器的间隔时间需要5-6s。即复位后5-6s才给0x05寄存器写入0x13切到耳机模式; 流程：IC上电复位后延时100ms-->IC初始化-->IC复位后5-6s，0x05寄存器写0x13(耳机模式，A_SEL设为输出)，此时A_SEL脚为高情况二：IC的A_SEL脚接磁珠下地（A_SEL始终为低），不和HP_SD相连，HP_SD（耳机使能）由MCU控制

JS: Prevent Unresponsive Script Warnings

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问题 I'm working on a JS project that generates a pattern from a noise algorithm. I'm generating multiple octaves of noise to get the result I want which ends up being around 7,000,000 values. As you can imagine, I'm getting an unresponsive script error from this. Is there a way to suppress this message in modern browsers? In this instance, the script is doing it's expected behavior—generating noise—and it is expected that it will take a little while. Would it be faster to generate noise with a

How to plot blurred points in Matplotlib

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问题 As the question says, I'm looking for a way to plot blurred points using Matplotlib. I don't want to plot a set of points and then apply a filter to blurry the whole image. Instead of it, I would like to plot a set of points, each of them with an associated level of blur. Thank you in advance. 回答1: Here's another work around. You can display an image at each location instead of a marker using a BboxImage . That way you can blur or manipulate the image any way you want. This tutorial has more

Generating 3D noise quickly in python

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问题 I need a method to generate 3D simplex noise in python rather quickly. What methods are there out there to solve this problem? 回答1: $ pip install noise http://pypi.python.org/pypi/noise/ This package is designed to give you simple to use, fast functions for generating Perlin noise in your Python programs. Perlin noise is famously called the "salt" of procedural generation, as it adds considerable flavor in its application. Noise is commonly used for imparting realism in textures, animation

How can I measure image noise

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问题 I've found a few ways of reducing noise from image, but my task is to measure it. So I am interested in algorithm that will give me some number, noise rating. That with that number I will be able to say that one image has less noise than others. 回答1: From a view of image processing, you can consult the classic paper "Image quality assessment: From error visibility to structural similarity" published in IEEE Transaction on Image Processing , which has already been cited 3000+ times according

How to Calibrate Android Accelerometer & Reduce Noise, Eliminate Gravity

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问题 So, I've been struggling with this problem for some time, and haven't had any luck tapping the wisdom of the internets and related SO posts on the subject. I am writing an Android app that uses the ubiquitous Accelerometer, but I seem to be getting an incredible amount of "noise" even while at rest, and can't seem to figure out how to deal with it as my readings need to be relatively accurate. I thought that maybe my phone (HTC Incredible) was dysfunctional, but the sensor seems to work well

Generate white noise with amplitude between [-1 1] with Matlab

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问题 I'm using the Matlab function Y = WGN(M,N,P) to generate white noise with Gaussian distribution. This function uses a power value (dB Watts) to calculate the amplitude of the output signal. Since I want to get an output amplitude range of -1 V to 1 V there is a function mode 'linear'. I'm trying to use the 'linear' mode to produce the output but the result is an output amplitude range of [-4 4] RandomSignal = wgn(10000,1,1,1,'linear'); Time = linspace(0,10,10000); figure() plot(Time

Using PyKalman on Raw Acceleration Data to Calculate Position

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问题 This is my first question on Stackoverflow, so I apologize if I word it poorly. I am writing code to take raw acceleration data from an IMU and then integrate it to update the position of an object. Currently this code takes a new accelerometer reading every milisecond, and uses that to update the position. My system has a lot of noise, which results in crazy readings due to compounding error, even with the ZUPT scheme I implemented. I know that a Kalman filter is theoretically ideal for this

Play simple beep with python without external library

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问题 Using only the modules that come with a standard python 2.6 installation, would it be possible to play a simple beeping noise? 回答1: If you're on a Unix terminal, you can print "\a" to get a terminal bell: >>> def beep(): ... print "\a" >>> beep() Of course, that will print a newline too… So sys.stdout.write("\a") might be better. But you get the idea. 回答2: On windows: import winsound # for sound import time # for sleep winsound.Beep(440, 250) # frequency, duration time.sleep(0.25) # in

Which algorithm will be required to do this?

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问题 I have data of this form: for x=1, y is one of {1,4,6,7,9,18,16,19} for x=2, y is one of {1,5,7,4} for x=3, y is one of {2,6,4,8,2} .... for x=100, y is one of {2,7,89,4,5} Only one of the values in each set is the correct value, the rest is random noise. I know that the correct values describe a sinusoid function whose parameters are unknown. How can I find the correct combination of values, one from each set? I am looking something like "travelling salesman"combinatorial optimization