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SOUND NORMALIZER ARDUINO PC

So to find when pad was hit with higher accuracy (1ms) would require using multiple frames and interpolating the motion between them.

However even at 120 FPS, which some modern cameras/smartphones can do, there is 8.33 ms per frame. My first idea was to use a high-speed camera, using the video image to determine when pad is hit and the audio to detect when sound comes from the computer. And to have concrete, objective data to go by, we need to measure it. So this is what we must be able to observe in order to evaluate current performance and the impact of attempted improvements. For a MIDI controller that means the end-to-end latency, from hitting the pad until the sound triggered is heard. Testing latencyįor an interactive system like this, what matters is the performance experienced by the user. A synthesizer on the computer turns the notes into sound.

SOUND NORMALIZER ARDUINO PC

An Arduino board processes the sensor data and sends MIDI notes over USB to a PC or mobile device. To split this into two boards and try for yourself split the above file at the the 1 sample switch and use 2 digital outputs and inputs for the data stream and the clock.Dhang: A MIDI controller using capacitive touch sensors for triggering. Keep in mind that I used the R2015B version of MATLAB and the same version is required to open and further edit these files i apologize for this inconvenience. In addition to that I hoped to improve the sampling rate by using a method that altered instead of each bit maybe 4 or 5 bits at a time.īelow are the receiver and transmitter simulink files. Thus from here on out, I began to study clock recovery and various signal transmission methods to resolve this issue. Data was only able to be read and decomposed correctly upon multiple hard resets on the receiver board and only remained in sync for several minutes as a time. It was physically impossible to get the clock/data lines to be read properly due to the desynced internal clocks of two separate boards. When it came to the actual real world implementation of this, there were problems.to say the least. Thus concludes the first “working” model of a dual channel transmitter and receiver which needs a clock line and digital data line. Although it reads uint16 numbers only 10 of the 16 bits are used meaning that the max value is 4095. Although this doesn’t increase the resolution of the output by any means, it allows one to fully use the output range of the Due’s DAC which reads uint16 numbers. The only thing done her is to scale the input, 0-15, to values of, 0-4050.

Luckily we do not have to do the block diagram for the DAC.

Following that using the same setup a counter and a switch is used to read the vector passing it through a ZOH and finally the bit to integer converter which converts this value back into an unsigned 4 bit integer.

The sample and holds then hold each respective value such that we can allow all 4 data lines to be sampled simultaneously to obtain a vector of the 4 data lines will appear as follows from the output of the mux.

In order to choose between reading a zero and a value from the data line, we use the switch which only triggers when “Hit” is observed from the counter.

Using counters that start counting from 0 to 3 and each triggering on a different value respectively we obtain 4 data lines of the following form.

Given 1 cycle of data, over 4 samples the inputs are A0A1A2A3.

The 8 rate transitions (4 per bit * 2 channels) and the 8 sample and holds really killed the processor. This is where the bulk of the processing was used and the reason why this model was so inefficient. Secondly is the part of the system which converts the data from to. This is only done so that the downsample by 2 works.ĭownsampling will remove the extra zeros thus creating vectors of the form A0A1A2A3…. I say sync, however in reality given a high enough sample rate delaying by 7 samples is essentially negligible.

This is done so that the data comprised of A0B0A1B1A2B2 can be converted into two seperate data lines of.įollowing this a delay is applied to the second channel in order to “sync” the two channels again. The following switch is used to help select between the data line and ground. Again the 1 sample reset switches are reset/triggered on opposite edges to help separate each channel. Since the image above is a bit convoluted the following images will discuss eat component of the system.Īs shown above there are 2 input lines, data split between two 1 sample reset switches and the clock between two regular switches.

Normalize and output through Analog Output block.

Downsample data to remove interlaced zero values.

Use received clock to trigger switches to sample data from data line.

Receive data through a data line, receive clock through another data line.

Above is an image of the receiver which was much more complicated to design than I originally thought.