Signals Agent
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FFT
LlamaIndex
Signals Agent
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OpenAI
Signals Agent
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Perplexity
Signals Agent
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Python
Signals Agent
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agents
Trying to Get Signals Agent to Work
Published:
For the past few weeks, I’ve been building a project called Signals Agent, a tool designed to analyze environmental audio using FFTs and other signal processing techniques, powered by an LLM-based reasoning loop. The goal was simple in theory: create an agent that could make sense of ambient sounds by performing multiscale spectral analysis, identify interesting frequency events, and describe likely real-world sources. As with any real-world agentic system, the reality has been much more complex. This blog post documents my recent efforts to improve the accuracy and reliability of the agent, especially in distinguishing between sound sources with overlapping spectral content.
Signals Agent
Published:
audio
Trying to Get Signals Agent to Work
Published:
For the past few weeks, I’ve been building a project called Signals Agent, a tool designed to analyze environmental audio using FFTs and other signal processing techniques, powered by an LLM-based reasoning loop. The goal was simple in theory: create an agent that could make sense of ambient sounds by performing multiscale spectral analysis, identify interesting frequency events, and describe likely real-world sources. As with any real-world agentic system, the reality has been much more complex. This blog post documents my recent efforts to improve the accuracy and reliability of the agent, especially in distinguishing between sound sources with overlapping spectral content.
fa
Time Domain Reflectometry (TDR) Properties, Semiconductor Industry Failure Analysis Applications, and Implementation on FPGA
Published:
In this report, we will explain the physics and math behind TDR, including how impedance mismatches cause signal reflections and how timing is used to determine fault locations. Then, we will explore how TDR is applied in semiconductor failure analysis. Finally, we will explain how TDR can be implemented on an FPGA.
fpga
TDR FPGA Progress
Published:
Simulating Time Domain Reflectometry (TDR) on an FPGA
Time Domain Reflectometry (TDR) Properties, Semiconductor Industry Failure Analysis Applications, and Implementation on FPGA
Published:
In this report, we will explain the physics and math behind TDR, including how impedance mismatches cause signal reflections and how timing is used to determine fault locations. Then, we will explore how TDR is applied in semiconductor failure analysis. Finally, we will explain how TDR can be implemented on an FPGA.
2025 Summer Project Ideas
Published:
The past semester, I have been learning system verilog and applying it for use during labs on FPGAs. I have learned to love this process, and I want to find more ways to apply and expand on these skills. In addition, I have found interest in semiconductor fabrication tools as well as machine learning. For these reasons, I want my summer project(s) centered around FPGA, ML, and the SC industry. Outlined below are three ideas I have been playing around with.
gaussian splitting
2025 Summer Project Ideas
Published:
The past semester, I have been learning system verilog and applying it for use during labs on FPGAs. I have learned to love this process, and I want to find more ways to apply and expand on these skills. In addition, I have found interest in semiconductor fabrication tools as well as machine learning. For these reasons, I want my summer project(s) centered around FPGA, ML, and the SC industry. Outlined below are three ideas I have been playing around with.
ideas
2025 Summer Project Ideas
Published:
The past semester, I have been learning system verilog and applying it for use during labs on FPGAs. I have learned to love this process, and I want to find more ways to apply and expand on these skills. In addition, I have found interest in semiconductor fabrication tools as well as machine learning. For these reasons, I want my summer project(s) centered around FPGA, ML, and the SC industry. Outlined below are three ideas I have been playing around with.
ml
TDR FPGA Progress
Published:
Simulating Time Domain Reflectometry (TDR) on an FPGA
2025 Summer Project Ideas
Published:
The past semester, I have been learning system verilog and applying it for use during labs on FPGAs. I have learned to love this process, and I want to find more ways to apply and expand on these skills. In addition, I have found interest in semiconductor fabrication tools as well as machine learning. For these reasons, I want my summer project(s) centered around FPGA, ML, and the SC industry. Outlined below are three ideas I have been playing around with.
numpy
Signals Agent
Published:
signal-processing
Trying to Get Signals Agent to Work
Published:
For the past few weeks, I’ve been building a project called Signals Agent, a tool designed to analyze environmental audio using FFTs and other signal processing techniques, powered by an LLM-based reasoning loop. The goal was simple in theory: create an agent that could make sense of ambient sounds by performing multiscale spectral analysis, identify interesting frequency events, and describe likely real-world sources. As with any real-world agentic system, the reality has been much more complex. This blog post documents my recent efforts to improve the accuracy and reliability of the agent, especially in distinguishing between sound sources with overlapping spectral content.
Signals Agent
Published:
signals
Time Domain Reflectometry (TDR) Properties, Semiconductor Industry Failure Analysis Applications, and Implementation on FPGA
Published:
In this report, we will explain the physics and math behind TDR, including how impedance mismatches cause signal reflections and how timing is used to determine fault locations. Then, we will explore how TDR is applied in semiconductor failure analysis. Finally, we will explain how TDR can be implemented on an FPGA.
spectrogram
Signals Agent
Published:
summer
2025 Summer Project Ideas
Published:
The past semester, I have been learning system verilog and applying it for use during labs on FPGAs. I have learned to love this process, and I want to find more ways to apply and expand on these skills. In addition, I have found interest in semiconductor fabrication tools as well as machine learning. For these reasons, I want my summer project(s) centered around FPGA, ML, and the SC industry. Outlined below are three ideas I have been playing around with.
systemverilog
Time Domain Reflectometry (TDR) Properties, Semiconductor Industry Failure Analysis Applications, and Implementation on FPGA
Published:
In this report, we will explain the physics and math behind TDR, including how impedance mismatches cause signal reflections and how timing is used to determine fault locations. Then, we will explore how TDR is applied in semiconductor failure analysis. Finally, we will explain how TDR can be implemented on an FPGA.
tdr
TDR FPGA Progress
Published:
Simulating Time Domain Reflectometry (TDR) on an FPGA
Time Domain Reflectometry (TDR) Properties, Semiconductor Industry Failure Analysis Applications, and Implementation on FPGA
Published:
In this report, we will explain the physics and math behind TDR, including how impedance mismatches cause signal reflections and how timing is used to determine fault locations. Then, we will explore how TDR is applied in semiconductor failure analysis. Finally, we will explain how TDR can be implemented on an FPGA.
2025 Summer Project Ideas
Published:
The past semester, I have been learning system verilog and applying it for use during labs on FPGAs. I have learned to love this process, and I want to find more ways to apply and expand on these skills. In addition, I have found interest in semiconductor fabrication tools as well as machine learning. For these reasons, I want my summer project(s) centered around FPGA, ML, and the SC industry. Outlined below are three ideas I have been playing around with.
trouble-shooting
Trying to Get Signals Agent to Work
Published:
For the past few weeks, I’ve been building a project called Signals Agent, a tool designed to analyze environmental audio using FFTs and other signal processing techniques, powered by an LLM-based reasoning loop. The goal was simple in theory: create an agent that could make sense of ambient sounds by performing multiscale spectral analysis, identify interesting frequency events, and describe likely real-world sources. As with any real-world agentic system, the reality has been much more complex. This blog post documents my recent efforts to improve the accuracy and reliability of the agent, especially in distinguishing between sound sources with overlapping spectral content.