You will get a real-time adaptive Machine Learning System
You will get a real-time adaptive Machine Learning System
Project details
Finite Impulse Response (FIR) filters serve a pivotal role in the realm of audio processing. They are employed to effectively eliminate unwanted noise from audio signals and correct any direct current (DC) offsets that may be present in Analog-to-Digital Converter (ADC) measurements, among various other applications. While the theoretical underpinnings of these filters may appear intricate, their practical application in real-world scenarios is notably straightforward. This primarily entails identifying the transfer function using MATLAB and subsequently implementing it on a microcontroller of your preference.
I am here to offer guidance in the selection of the most suitable filter type and order, meticulously tailored to the unique requirements of your specific application. Drawing from your distinct criteria, I will derive the exact transfer function using MATLAB. Subsequently, I will proceed to conduct real-time experiments on an STM32 microcontroller. To further streamline the process, I will provide both the C-code and the MATLAB code for your convenience. Additionally, I will supply a carefully crafted document, delivering in-depth insights to clarify the entire project.
I am here to offer guidance in the selection of the most suitable filter type and order, meticulously tailored to the unique requirements of your specific application. Drawing from your distinct criteria, I will derive the exact transfer function using MATLAB. Subsequently, I will proceed to conduct real-time experiments on an STM32 microcontroller. To further streamline the process, I will provide both the C-code and the MATLAB code for your convenience. Additionally, I will supply a carefully crafted document, delivering in-depth insights to clarify the entire project.
Data Tool
MATLABWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,000
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 14 days | 21 days | 30 days |
Number of Revisions | 3 | 3 | 3 |
Number of Graphs/Charts | 3 | 3 | 3 |
Number of Scenarios | 3 | 3 | 3 |
Number of Model Variations | 1 | 1 | 1 |
Model Documentation | |||
Data Source Connectivity | - | ||
Model Validation/Testing | - | - |
About Jack
Embedded Systems & Developer | STM32,D.SP, and mmWave Radar Engineer
Tainan, Taiwan - 12:16 am local time
Attainment of a Ph.D. in Electrical Engineering, specializing in Digital Signal Processing, from Southern Methodist University in Dallas, with a strong focus on Embedded Systems.
Engaging in scholarly discussions within the intricate domain of 24/79GHz Radar and Sensor Fusion, a crucial aspect of Embedded System applications.
Mastering the intricate craft of Simultaneous Localization and Mapping (SLAM) within Embedded Systems.
Proficiency in the nuanced artistry of Image Processing, an essential component of many Embedded System projects.
Adeptness in the sphere of system design, which encompasses project specification and structural delineation, a fundamental aspect of Embedded System development.
Proficiency in navigating the complex terrain of electrical diagrams and PCB design, utilizing Eagle CAD and complementing it with 3D models tailored for MCAD applications, integral to the hardware aspects of Embedded Systems.
Proficiency in firmware development, spanning assembler, C/C++, and encompassing both high-end and low-end drivers, a critical skill for Embedded System software.
Proficiency in the art of development for a wide array of MCU/SoC platforms, coupled with adeptness in VHDL programming within the FPGA/CPLD domain, which are key technologies in Embedded System design.
Over the years, my journey has been marked by fruitful collaborations with diverse Embedded Systems, encompassing various MCU architectures and chip families, including:
The esteemed lineage of ARM Cortex, covering M0, M1, M3, M4, M7, M23, M33, and their variants, commonly used in Embedded Systems:
STM32F0xx, STM32F1xx, STM32F2xx, STM32F3xx, STM32F4xx, STM32F7xx, STM32H7xx, STM32L0xx, STM32L1xx, STM32L4xx, STM32L5xx, STM32L4Rx, STM32L4Sx, STM32G0xx, STM32G4xx, STM32U5xx
The noteworthy ARM Cortex M23, as represented by ATSAML1x, a critical component of many modern Embedded Systems.
The robust ARM Cortex M33, featured in STM32L5xx, LPC55S6x, and STM32U5xx, platforms commonly utilized in Embedded System projects.
The venerable STM 8-bit world, including STM8Sxxx and STM8Lxxx, an essential part of Embedded System history and development.
The iconic AVR 8 & 16-bit series, with ATmega328, ATmega1280, ATmega2560, ATtiny10, ATtiny12, ATtiny43, ATtiny85, ATmega32U4, AT90CAN128, and ATMEGA4809, widely employed in many Embedded Systems.
The renowned PIC lineage, boasting PIC16F, PIC18F, PIC24F, and PIC32F, essential microcontrollers in countless Embedded System applications.
The realm of TI/MSP, with chips like MSP430Gxxxx, MSP430Fxxxx, and MSP430FRxxx, a part of many Embedded System projects.
The charm of dual-core MCUs, embodied by STM32H7x7, LPC55S6x, LPC435x, RT1176, and RP2040, which offer increased processing power for sophisticated Embedded Systems.
The fusion of CPU and MCU, exemplified by STM32MP15x, a platform often chosen for more complex Embedded System solutions.
My expertise extends to VHDL programming for FPGA and CPLD chips, spanning the landscape of Xilinx and Altera, including XC2C64A, XC6SLX9, XC95144, XC95288, XC7A35T, and XC7A15T, across Spartan 6/7, CoolRunner, Virtex, and Artix, crucial in the development of custom hardware for Embedded Systems.
In addition, I have delved into the realm of fully integrated RF SoCs at 2.4 GHz, 24 GHz, and 77 GHz, sourced from notable manufacturers such as Nordic Semiconductor, ST Microelectronics, and Texas Instruments. These encompass nRF51822, nRF51422, nRF52810, nRF52832, NRF52833, nRF52840, nRF5340, STM32WB, STM32WL, CC2640, CC2652, CC1350, CC254x, CC3200, CC1312, CC2530F256, AWR1243, AWR1243P, AWR2243P, BGT24TR12, DA14580, DA14585, ESP8266, ESP32, MIPI DSI enabled devices, SoM Boards including Nvidia Jetson and Beaglebone Black, widely employed in Embedded System wireless communications and IoT applications.
Furthermore, my portfolio extends to driver development for a diverse array of sensors, ranging from pressure and temperature to humidity, gas, ultrasonic, IR, distance, motion Doppler sensors, accelerometers, gyros, magnetic field sensors, and an array of camera modules including OV7670, OV5642, OV5640, OV2640, GC0308, USB-based cameras, and display drivers for SSD1289, SSD1963, SSD1306, SSD1305, SSD1331, ILI9341, RA8875, eInk displays, and MIPI2RGB bridges like SSD2828 and SSD2825. Moreover, I have ventured into the domain of Ethernet PHY/MAC chips, encompassing DP83848, W5100, and ENC28J60, crucial in networking aspects of many Embedded Systems. My skill set also includes handling flash memory, both serial and parallel, in addition to SRAM/PSRAM/SDRAM/FRAM/EEPROM in both parallel and serial configurations, and external multichannel ADCs and DACs, which are essential components of many Embedded Systems.
I have extensive experience in designing USBC-PD power delivery-e
Steps for completing your project
After purchasing the project, send requirements so Jack can start the project.
Delivery time starts when Jack receives requirements from you.
Jack works on your project following the steps below.
Revisions may occur after the delivery date.
Define the project scope.
The system diagram includes I/O format, signal processing algorithm and hardware.
The expected outcomes the customer wanted.
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