# digital signal processing project......

预算 $30-250 AUD

- Freelancer
- 工作
- 电气工程
- digital signal processing project......

I want these problems of DSP to be solved for a meeting.

1.2 Tests to be carried out

1.2.1 Implementation of an adaptive filter

Implement an adaptive filter as shown in Figure 1.1 using the update equation 1.18 as a Matlab function. Pass the following arguments to the function: input signal x(n), desired signal d(n), filter length L and the step size parameter (ALPHArel) as relative size to the maximum stable step size according to calibration 1.33 The function shall calculate and return the following sizes: Error signal e(n), output signal y(n), time sequence of the set filter coefficients fn ( Attention: Represents a matrix)

1.2.2 Checking the Implementation: Notch-Filter

to check the self written function use the sum of a white noise and a sine tone at 1KHz as input signal x(n). As desired signal d(n) use the identical noise as in x(n), but without the sine tone. In total, the signal should be about 1s long (about 10,000 samples, depending on the selected sampling rate). Adapt the adaptive filter with this signal for different relstive step sizes (ALPHArel) between 0.1 and 1 and a filter length of L= 100 and document the instantaneous power of the noise e(n)^2 as a function of time to check the convergence. Further document the transfer function of the adaptive filter (to be calculated from the filter coefficient f(n) after convergence of the adaptive filter). Since in this circuit the input signal contains a sine tone that the desired signal does not contain, the adaptive filter should attenuate this frequency to equalize both signals. At all other frequencies, however, the two signals are identical, i.e. the filter should leave all other frequencies unchanged in order to equalize both signals. The result is a filter that attenuates exactly one frequency and leaves the rest unchanged, a so-called notch filter.

1.2.3 System detection

Connect the daptive filter as shown in Figure 1.2. Use an IIR low pass filter as the system to be detected (e.g. the design from the first week of the internship) and white noise as the input signal x(n). Let the adaptive filter adapt with a relative increment (ALPHArel) of about 0.8 and document the filter coefficients f(n) after convergence of the adaptive filter. Compare the transfer function of the system to be detected (the poles of the system function of the IIR filter are known) and of the adaptive filter by magnitude and phase.

1.2.4 Noise suppression

Use the same structure as for system detection and, in addition to the desired signal d(n), a speech signal u(n). After adaptation of the adaptive filter, the error signal e(n) should only contain the speech signal. Listen to the error signal and describe the hearing impression. If it meets the expectation

## 10 威客就此工作平均出价 $160

A Data Scientist with experience in Python, R programming, R Shiny, R studio and anything related to data science and python Master in Engineering, Electrical and Electronic Engineer, who is dynamic, reliable, resourc 更多

I have worked as developer embedded system with microcontroller such as DSP, FPGA/CPLD, PIC, PLC and so on. In there years, I have experiences about electronics engineering, power converter, communication such as I2C, 更多

Hi, I'm Warren from the Philippines. Currently, I'm a PhD student in electronics engineering. I have done similar projects before as what you have posted. I have had experience with FIR and IIR filters in Matlab and I 更多

Hi, I have vast experience in developing DSP algorithms for communication and industrial automation systems. I believe i have the required skill to successfully finish the project.

i am computer engineer from egypt with expert in matlab my grade in digital processing at school of engineering with excellent and i have made many project on mat lab for DSP i will be happy to work with you , i will 更多