Reading analog sensors through ADC in Raspberry Pi - Time & Space Complexity
When reading analog sensors through an ADC on a Raspberry Pi, it's important to understand how the time taken grows as we read more sensor values.
We want to know how the program's running time changes when we increase the number of sensor readings.
Analyze the time complexity of the following code snippet.
import spidev
import time
def read_adc(channel, spi):
adc = spi.xfer2([1, (8 + channel) << 4, 0])
data = ((adc[1] & 3) << 8) + adc[2]
return data
spi = spidev.SpiDev()
spi.open(0, 0)
for i in range(100):
value = read_adc(0, spi)
time.sleep(0.01)
This code reads analog values from channel 0 of an ADC 100 times, pausing briefly between each read.
Identify the loops, recursion, array traversals that repeat.
- Primary operation: The for-loop that calls
read_adc100 times. - How many times: Exactly 100 times in this example, but this number can change based on input.
Each sensor reading takes roughly the same time, so if we double the number of readings, the total time roughly doubles too.
| Input Size (n) | Approx. Operations |
|---|---|
| 10 | 10 sensor reads |
| 100 | 100 sensor reads |
| 1000 | 1000 sensor reads |
Pattern observation: The total work grows directly with the number of readings.
Time Complexity: O(n)
This means the time to complete the readings grows in a straight line as you increase the number of sensor reads.
[X] Wrong: "Reading multiple sensors at once will take the same time as reading one sensor."
[OK] Correct: Each sensor read requires communication with the ADC, so reading more sensors means more time spent overall.
Understanding how sensor reading time grows helps you write efficient code for real devices, showing you can think about performance in practical situations.
"What if we changed the code to read from 4 different channels inside the loop? How would the time complexity change?"
Practice
Solution
Step 1: Understand Raspberry Pi's input capabilities
The Raspberry Pi's GPIO pins can only read digital signals (on/off), not analog voltages.Step 2: Role of ADC
An ADC like MCP3008 converts analog voltages from sensors into digital numbers the Pi can read.Final Answer:
Because Raspberry Pi cannot read analog signals directly -> Option AQuick Check:
ADC needed for analog input = Because Raspberry Pi cannot read analog signals directly [OK]
- Thinking Pi can read analog signals directly
- Confusing ADC with Wi-Fi or USB functions
- Assuming Python support relates to ADC
read_adc to read from channel 2?Solution
Step 1: Understand Python function call syntax
Functions are called with parentheses and arguments inside, e.g., function_name(argument).Step 2: Apply to read_adc function
To read channel 2, call read_adc(2). Other options use invalid syntax.Final Answer:
read_adc(2) -> Option CQuick Check:
Function call uses parentheses = read_adc(2) [OK]
- Using square brackets instead of parentheses
- Using curly braces instead of parentheses
- Omitting parentheses entirely
value = read_adc(0) print(value)
Solution
Step 1: Understand ADC output range
MCP3008 outputs values from 0 to 1023 representing 0V to max voltage.Step 2: Given sensor voltage corresponds to 512
Calling read_adc(0) returns the digital value 512, which is printed.Final Answer:
512 -> Option DQuick Check:
ADC value matches sensor voltage = 512 [OK]
- Assuming output is voltage instead of digital number
- Expecting max value 1023 always
- Thinking code causes error
def read_sensor():
value = read_adc[1]
return value
print(read_sensor())Solution
Step 1: Check function call syntax inside read_sensor
The code uses read_adc[1], which is invalid syntax for calling a function.Step 2: Correct syntax for function call
It should be read_adc(1) with parentheses to call the function.Final Answer:
Using square brackets instead of parentheses to call read_adc -> Option BQuick Check:
Function calls need parentheses = Using square brackets instead of parentheses to call read_adc [OK]
- Using brackets [] instead of parentheses ()
- Forgetting to return value
- Misusing print statement
Solution
Step 1: Understand the goal
We want a dictionary with keys as channel numbers (0 to 3) and values as readings from read_adc.Step 2: Analyze each option
values = {ch: read_adc(ch) for ch in range(4)} uses dictionary comprehension correctly: keys are channels, values are readings. values = [read_adc(ch) for ch in range(1,4)] creates a list, not a dictionary. values = {read_adc(ch): ch for ch in range(4)} swaps keys and values incorrectly. values = dict(read_adc(ch) for ch in range(4)) tries to create dict from generator of values only, causing error.Final Answer:
values = {ch: read_adc(ch) for ch in range(4)} -> Option AQuick Check:
Dict comprehension with channel keys = values = {ch: read_adc(ch) for ch in range(4)} [OK]
- Using list instead of dict for key-value pairs
- Swapping keys and values in dict comprehension
- Passing wrong arguments to dict() constructor
Ready to prove it?
Pass the test and this pattern moves unknown
